Advanced Phishing data item clustering and Embodiments of the Synergistic Combinations System

Publication ID: 26-US11895137B2_0008_PTD
Published: January 17, 2026
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Advanced Phishing data item clustering and Embodiments of the Synergistic Combinations System,” Published Technical Disclosure No. 26-US11895137B2_0008_PTD, Published January 17, 2026, available at https://archive.pr1or.art/26-US11895137B2_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 118,951,372.

Summary of the Inventive Concept

A sophisticated Phishing data item clustering and Embodiments of the solution that integrates synergistic combinations methodologies to address specific technical challenges in Phishing domain.

Background and Problem Solved

The original Phishing data item clustering and Embodiments of the technology addresses fundamental functionality that can be enhanced through synergistic combinations approaches to improve performance and expand capabilities. However, the source patent does not provide a comprehensive solution for addressing specific technical challenges in Phishing domain. The new concept solves this problem by integrating synergistic combinations methodologies to create a more powerful system.

Detailed Description of the Inventive Concept

A comprehensive technical system that implements synergistic combinations enhancements to the original Phishing data item clustering and Embodiments of the technology. This includes specific components, mechanisms, and implementation details that enable someone skilled in the art to practice this invention without undue experimentation. The system integrates advanced clustering algorithms with artificial intelligence and machine learning techniques to improve the accuracy and efficiency of phishing data analysis. Additionally, the system incorporates blockchain technology to ensure the integrity and security of the data structures. The synergistic combinations approach enables the system to provide more comprehensive and actionable insights to analysts, thereby improving the overall performance and capabilities of the phishing data analysis system.

Novelty and Inventive Step

The new concept's integration of synergistic combinations methodologies with the original Phishing data item clustering and Embodiments of the technology is technically new and non-obvious. The source patent does not suggest or teach the use of synergistic combinations approaches to enhance the original technology. The new concept's inventive step lies in the specific implementation details and the way the synergistic combinations methodologies are integrated to create a more powerful system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different clustering algorithms, machine learning models, or blockchain architectures. Additionally, the system could be implemented using different programming languages, software frameworks, or hardware configurations. These variations could be used to optimize the system's performance, scalability, or security for specific use cases or industries.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the cybersecurity industry, particularly in the areas of phishing detection and prevention. The system's ability to provide more comprehensive and actionable insights to analysts makes it an attractive solution for organizations seeking to improve their phishing data analysis capabilities. The market for phishing data analysis solutions is growing rapidly, and the inventive concept is well-positioned to capture a significant share of this market.

CPC Classifications

SectionClassGroup
H H04 H04L63/1425
G G06 G06F16/285
G G06 G06Q40/12
H H04 H04L63/145
H H04 H04L63/1408

Field of Art

Cybersecurity, Network Security, Data Analysis, and Machine Learning with a focus on Phishing Detection and Data Clustering Technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled professional with expertise in computer science, network security, and data analysis, possessing advanced knowledge of machine learning techniques, clustering algorithms, and cybersecurity threat detection methodologies

Obviousness Rationale

A PHOSITA would recognize that the PTD's proposed synergistic combinations represent predictable extensions of the source patent's core phishing data clustering technology. The integration of artificial intelligence, machine learning, and blockchain technologies are well-known techniques for enhancing data analysis systems in the cybersecurity domain. The proposed variations represent logical incremental improvements that would be obvious to a skilled practitioner seeking to optimize phishing detection and data clustering methodologies.

Obvious Combinations & Variations

Source Patent Element
Data clustering strategy for phishing-related email items
PTD Variation
Integration of advanced machine learning algorithms to enhance clustering accuracy
Obviousness Reasoning
Applying machine learning to improve clustering is a known technique in data analysis, representing a predictable solution to increase system performance
Source Patent Element
Email data item analysis with organizational network context
PTD Variation
Incorporation of blockchain technology to ensure data integrity and security
Obviousness Reasoning
Using blockchain for data verification is a standard approach in cybersecurity for creating tamper-resistant data structures
Source Patent Element
Automated analysis of clustered data structures
PTD Variation
Artificial intelligence-driven insights generation for more comprehensive threat analysis
Obviousness Reasoning
Enhancing automated analysis with AI is a logical and predictable improvement in data processing technologies
Source Patent Element
Phishing-related data item clustering methodology
PTD Variation
Synergistic combinations approach integrating multiple analysis techniques
Obviousness Reasoning
Combining multiple analysis methodologies is a standard design choice for improving system capabilities in complex technical domains
35 U.S.C. § 103 Summary: Based on the teachings of US Patent US11895137B2 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed phishing data item clustering and analysis enhancements to be obvious variations that do not rise to the level of non-obvious innovation, thereby rendering potential claims covering such technologies anticipated and obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 118,951,372
TitlePhishing data item clustering and analysis